Benefit from over two decades of archived sports betting data
Let the TX Labs analytics suite, equipped with big data API and market intelligence search functionality, benefit your business and enhance your analytical capabilities.
Whatever your requirement our historical odds database can be tailored to find you the solution. If it’s Machine learning models. Quantitative price analysis, back testing existing models, reverse engineering bookmaker’s prices or simply benchmarking your competitiveness against your competitors. TX Labs has everything you need.
Whatever your requirement our historical odds database can be tailored to find you the solution. If it’s Machine learning models. Quantitative price analysis, back testing existing models, reverse engineering bookmaker’s prices or simply benchmarking your competitiveness against your competitors. TX Labs has everything you need.
Turning Analytics into Action
Leverage historical odds to craft a winning strategy that controls market exposure and mitigates risk effectively
Sports Tiering
Historical odds data will enable the categorisation of sports by competition and league by tiering based on historical overrounds. Creating insights into market trends, reoccurring patterns and allowing you to adjust your tiering when required.
Market Limits
Market limit evaluation based on tiering, overrounds and market performance can determine market limits by tier/competition/market for optimal risk management.
Lay to Lose Limits
Leverage historical odds data to analyse customer staking patterns and staking behaviour enabling you to determine appropriate lay to lose limits by customer segmentation and tier and market type.
Pricing Strategy Optimisation
- By analysing historical odds data, bookmakers can gain crucial insights into the behaviour of odds movements before and during the game, this allows them to refine their pricing strategy to maximise profitability and increase customer engagement.
- Regional pricing analysis enables you to optimize your pricing strategies for specific regions/countries. Factoring in considerations such as sports popularity by country coverage and your competitors pricing strategy
- Analysis historical data by markets comparing actual performance against expected performance to evaluate your pricing strategy and overround per market to optimize efficiency.
